Update pipeline tag to text-generation and add paper link
Browse filesThis PR improves the model card for the `Kuvera 8B` model by:
* **Updating the `pipeline_tag` from `question-answering` to `text-generation`**. This more accurately reflects the model's primary functionality of generating advice and comprehensive responses for personal finance queries, enhancing its discoverability on the Hugging Face Hub ([https://huggingface.co/models?pipeline_tag=text-generation](https://huggingface.co/models?pipeline_tag=text-generation)).
* **Adding a prominent link to the associated paper** [Synthesizing Behaviorally-Grounded Reasoning Chains: A Data-Generation Framework for Personal Finance LLMs](https://huggingface.co/papers/2509.14180) in the introductory section.
* **Updating the BibTeX citation** to refer to the paper, ensuring proper academic attribution.
|
@@ -1,13 +1,13 @@
|
|
| 1 |
---
|
| 2 |
-
|
|
|
|
| 3 |
datasets:
|
| 4 |
- Akhil-Theerthala/Kuvera-PersonalFinance-V2.1
|
| 5 |
language:
|
| 6 |
- en
|
| 7 |
-
base_model:
|
| 8 |
-
- Qwen/Qwen3-8B
|
| 9 |
-
pipeline_tag: question-answering
|
| 10 |
library_name: transformers
|
|
|
|
|
|
|
| 11 |
tags:
|
| 12 |
- finance
|
| 13 |
- personal_finance
|
|
@@ -17,7 +17,7 @@ tags:
|
|
| 17 |
|
| 18 |
# Kuvera 8B
|
| 19 |
|
| 20 |
-
This model is a fine-tuned version of `Qwen/Qwen3-8B` designed to answer personal finance queries. It has been trained on a specialized dataset of real Reddit queries with synthetically curated responses, focusing on understanding both the financial necessities and the psychological context of the user.
|
| 21 |
|
| 22 |
## Model Description
|
| 23 |
|
|
@@ -68,13 +68,11 @@ The model was fine-tuned on the `Akhil-Theerthala/Personal-Finance-Queries` data
|
|
| 68 |
|
| 69 |
---
|
| 70 |
## Citation
|
| 71 |
-
```
|
| 72 |
-
@
|
| 73 |
-
|
| 74 |
-
|
| 75 |
-
|
| 76 |
-
|
| 77 |
-
doi = { 10.57967/hf/6201 },
|
| 78 |
-
publisher = { Hugging Face }
|
| 79 |
}
|
| 80 |
```
|
|
|
|
| 1 |
---
|
| 2 |
+
base_model:
|
| 3 |
+
- Qwen/Qwen3-8B
|
| 4 |
datasets:
|
| 5 |
- Akhil-Theerthala/Kuvera-PersonalFinance-V2.1
|
| 6 |
language:
|
| 7 |
- en
|
|
|
|
|
|
|
|
|
|
| 8 |
library_name: transformers
|
| 9 |
+
license: mit
|
| 10 |
+
pipeline_tag: text-generation
|
| 11 |
tags:
|
| 12 |
- finance
|
| 13 |
- personal_finance
|
|
|
|
| 17 |
|
| 18 |
# Kuvera 8B
|
| 19 |
|
| 20 |
+
This model is a fine-tuned version of `Qwen/Qwen3-8B` designed to answer personal finance queries, as presented in the paper [Synthesizing Behaviorally-Grounded Reasoning Chains: A Data-Generation Framework for Personal Finance LLMs](https://huggingface.co/papers/2509.14180). It has been trained on a specialized dataset of real Reddit queries with synthetically curated responses, focusing on understanding both the financial necessities and the psychological context of the user.
|
| 21 |
|
| 22 |
## Model Description
|
| 23 |
|
|
|
|
| 68 |
|
| 69 |
---
|
| 70 |
## Citation
|
| 71 |
+
```bibtex
|
| 72 |
+
@article{theerthala2025synthesizing,
|
| 73 |
+
title={Synthesizing Behaviorally-Grounded Reasoning Chains: A Data-Generation Framework for Personal Finance LLMs},
|
| 74 |
+
author={Theerthala, Akhil and others},
|
| 75 |
+
journal={arXiv preprint arXiv:2509.14180},
|
| 76 |
+
year={2025}
|
|
|
|
|
|
|
| 77 |
}
|
| 78 |
```
|